{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fitted-genre",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "monetary-breath",
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
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       "      <td>8.88</td>\n",
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       "      <td>男</td>\n",
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       "     班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0     1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1     1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2     1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "3     1  男     4.21         68   8.05       74  206     64    13      76    1   \n",
       "4     1  男     3.44         85   7.52       78  210     66    13      76    9   \n",
       "..   .. ..      ...        ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "472  17  男     4.23         68   8.27       72  208     66    10      72    0   \n",
       "473  17  男     5.19         40   9.55       50  210     66    15      80    6   \n",
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       "476  17  男     0.00          0   0.00        0    0      0     0       0    0   \n",
       "\n",
       "     男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0        0  2785      62  170  72.599998  25.120001  \n",
       "1       60  3133      68  174  52.700001  17.410000  \n",
       "2        0  3901      80  169  46.500000  16.280001  \n",
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       "4       68  3538      74  171  54.700001  18.709999  \n",
       "..     ...   ...     ...  ...        ...        ...  \n",
       "472      0  4647     100  176  69.500000  22.440001  \n",
       "473     50  7042     100  177  76.000000  24.260000  \n",
       "474     85  5755     100  181  65.000000  19.840000  \n",
       "475     76  5688     100  172  51.700001  17.480000  \n",
       "476      0     0       0    0   0.000000   0.000000  \n",
       "\n",
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       "      <td>43.599998</td>\n",
       "      <td>18.379999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>17</td>\n",
       "      <td>女</td>\n",
       "      <td>4.48</td>\n",
       "      <td>50</td>\n",
       "      <td>9.09</td>\n",
       "      <td>74</td>\n",
       "      <td>180</td>\n",
       "      <td>80</td>\n",
       "      <td>10</td>\n",
       "      <td>68</td>\n",
       "      <td>46</td>\n",
       "      <td>85</td>\n",
       "      <td>2962</td>\n",
       "      <td>85</td>\n",
       "      <td>162.0</td>\n",
       "      <td>55.299999</td>\n",
       "      <td>21.070000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>593 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0     1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1     1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2     1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "3     1  女    3.39        85   9.52       70  172     76    21      90   46   \n",
       "4     1  女    3.43        80   9.79       68  145     50     8      64   34   \n",
       "..   .. ..     ...       ...    ...      ...  ...    ...   ...     ...  ...   \n",
       "588  17  女    3.51        78   9.60       68  150     60    24      95   41   \n",
       "589  17  女    4.00        76  10.18       64  150     60    13      72   36   \n",
       "590  17  女    3.45        80  10.18       64  152     62    15      76   35   \n",
       "591  17  女    4.01        74   9.67       68  165     70    10      68   41   \n",
       "592  17  女    4.48        50   9.09       74  180     80    10      68   46   \n",
       "\n",
       "     女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0       85  3775     100  163.0  51.299999  19.309999  \n",
       "1       66  3683     100  163.0  66.599998  25.070000  \n",
       "2       76  3331     100  157.0  60.000000  24.340000  \n",
       "3       85  3701     100  160.0  50.700001  19.799999  \n",
       "4       70  3592     100  167.0  63.900002  22.910000  \n",
       "..     ...   ...     ...    ...        ...        ...  \n",
       "588     78  2255      70  158.0  49.000000  19.629999  \n",
       "589     72  2937      85  161.0  55.700001  21.490000  \n",
       "590     72  2592      76  165.0  48.599998  17.850000  \n",
       "591     78  1829      60  154.0  43.599998  18.379999  \n",
       "592     85  2962      85  162.0  55.299999  21.070000  \n",
       "\n",
       "[593 rows x 17 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "male = pd.read_excel('./体测分数_男生.xls')\n",
    "female = pd.read_excel('./体测分数_女生.xls')\n",
    "display(male, female)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "moving-hours",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### 对男1000米跑、男引体进行等宽分箱操作，分成3份，并使用饼图绘制百分比"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "engaged-harassment",
   "metadata": {
    "collapsed": true,
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "班级             int64\n",
       "性别            object\n",
       "男1000米跑      float64\n",
       "男1000米跑分数      int64\n",
       "男50米跑        float64\n",
       "男50米跑分数        int64\n",
       "男跳远            int64\n",
       "男跳远分数          int64\n",
       "男体前屈           int64\n",
       "男体前屈分数         int64\n",
       "男引体            int64\n",
       "男引体分数          int64\n",
       "男肺活量           int64\n",
       "男肺活量分数         int64\n",
       "身高             int64\n",
       "体重           float64\n",
       "BMI          float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "compact-header",
   "metadata": {
    "hidden": true
   },
   "source": [
    "#### 男1000米跑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "editorial-flesh",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男1000米跑各分段分布情况  ')"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#等宽分箱\n",
    "male_1000sort = male['男1000米跑分数'].sort_values() #排序\n",
    "male_1000counts = pd.cut(male_1000sort, bins = 3).value_counts() #将成绩等距分成三份，并统计每个分数段的人数\n",
    "\n",
    "#饼图绘制\n",
    "plt.figure(figsize = (8, 8))\n",
    "_ = plt.pie(male_1000counts, autopct='%.2f%%')\n",
    "\n",
    "plt.legend(['0-33.33', '33.34-66.66', '66.67-100']) #添加图例\n",
    "plt.title(label = '  男1000米跑各分段分布情况  ', \n",
    "          fontdict = {'family':'LiSu', 'size':22, 'color':'white', 'weight':'bold'}, \n",
    "          pad = 20,\n",
    "          backgroundcolor = '#c5b783') #添加标题"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cooperative-monaco",
   "metadata": {
    "hidden": true
   },
   "source": [
    "#### 男引体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "speaking-links",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男引体各分段分布情况  ')"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#等宽分箱\n",
    "male_ytsort = male['男引体分数'].sort_values() #排序\n",
    "male_ytcounts = pd.cut(male_ytsort, bins = 3).value_counts() #将成绩等距分成三份，并统计每个分数段的人数\n",
    "\n",
    "#饼图绘制\n",
    "plt.figure(figsize = (8, 8))\n",
    "_ = plt.pie(male_ytcounts, autopct='%.2f%%')\n",
    "\n",
    "plt.legend(['0-33.33', '33.34-66.66', '66.67-100']) #添加图例\n",
    "plt.title(label = '  男引体各分段分布情况  ', \n",
    "          fontdict = {'family':'LiSu', 'size':22, 'color':'white', 'weight':'bold'}, \n",
    "          pad = 20,\n",
    "          backgroundcolor = '#c5b783') #添加标题"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "welsh-alberta",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### 对女800米跑、女跳远进行直方图绘制统计各分数段人数，分成4份"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dying-insurance",
   "metadata": {
    "hidden": true
   },
   "source": [
    "#### 女800米跑"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "funky-april",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#设置全局字体大小\n",
    "plt.rcParams['font.size'] = 12\n",
    "#绘制直方图\n",
    "plt.figure(figsize = (12, 9))\n",
    "counts, bins, fig = plt.hist(female['女800米跑分数'], bins=4)\n",
    "plt.xticks([0, 25, 50, 75, 100])\n",
    "plt.xlabel('分数', fontdict={'family':'LiSu', 'size':15})\n",
    "plt.ylabel('人数', rotation = 0, fontdict={'family':'LiSu', 'size':15}, ha = 'right')\n",
    "\n",
    "\n",
    "plt.title(label = '  女800米跑各分段分布情况  ', \n",
    "          fontdict = {'family':'LiSu', 'size':26, 'color':'white', 'weight':'bold'}, \n",
    "          pad = 40,\n",
    "          backgroundcolor = '#c5b783') #添加标题\n",
    "plt.grid(axis = 'y', linestyle = '--') #添加网格\n",
    "plt.box(False) #去掉边框\n",
    "\n",
    "#添加直方图各分段具体人数显示\n",
    "x0 = 12.5\n",
    "for i in range(4):\n",
    "    plt.text(x = x0, y = counts[i]+10, s = int(counts[i]), fontsize = 15, ha = 'center')\n",
    "    x0 +=25"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "unusual-activation",
   "metadata": {
    "hidden": true
   },
   "source": [
    "#### 女跳远"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "incident-variable",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams['font.size'] = 12\n",
    "#绘制直方图\n",
    "plt.figure(figsize = (12, 9))\n",
    "counts, bins, fig = plt.hist(female['女跳远分数'], bins=4)\n",
    "plt.xticks([0, 25, 50, 75, 100])\n",
    "plt.xlabel('分数', fontdict={'family':'LiSu', 'size':15})\n",
    "plt.ylabel('人数', rotation = 0, fontdict={'family':'LiSu', 'size':15}, ha = 'right')\n",
    "\n",
    "\n",
    "plt.title(label = '  女跳远各分段分布情况  ', \n",
    "          fontdict = {'family':'LiSu', 'size':26, 'color':'white', 'weight':'bold'}, \n",
    "          pad = 40,\n",
    "          backgroundcolor = '#c5b783') #添加标题\n",
    "plt.grid(axis = 'y', linestyle = '--') #添加网格\n",
    "plt.box(False) #去掉边框\n",
    "\n",
    "#添加直方图各分段具体人数显示\n",
    "x0 = 12.5\n",
    "for i in range(4):\n",
    "    plt.text(x = x0, y = counts[i]+10, s = int(counts[i]), fontsize = 15, ha = 'center')\n",
    "    x0 +=25"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nervous-current",
   "metadata": {},
   "source": [
    "### 使用嵌套饼图对比男女生体重指数进行比例统计，分为正常、低体重、超重、肥胖"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "innovative-creator",
   "metadata": {},
   "source": [
    "男生体重指数统计划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "strange-prediction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16.4, 23.2]      354\n",
       "(23.2, 26.3]       61\n",
       "(26.3, 1000.0]     38\n",
       "(0.0, 16.4]        13\n",
       "Name: (男低体重, 男正常, 男超重, 男肥胖), dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "male_BMI = male['BMI'].round(2).sort_values()\n",
    "#<=16.4 低体重，16.5-23.2 正常，23.3-26.3 超重，>=26.4 肥胖\n",
    "male_BMIcut = pd.cut(male_BMI, bins = [0, 16.4, 23.2, 26.3, 1000]) #最后一个取值大一点将剩下所有大于26.3的都包括进去\n",
    "male_BMIcounts = male_BMIcut.value_counts() #计数情况不包括BIM未被统计的学生\n",
    "male_BMIcounts.rename(index = ('男低体重', '男正常', '男超重', '男肥胖'), inplace = True)\n",
    "male_BMIcounts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "intended-spyware",
   "metadata": {},
   "source": [
    "女生体重指数统计划分"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "bored-breed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(16.4, 22.7]      443\n",
       "(22.7, 25.2]       83\n",
       "(25.2, 1000.0]     52\n",
       "(0.0, 16.4]         8\n",
       "Name: (女低体重, 女正常, 女超重, 女肥胖), dtype: int64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "female_BMI = female['BMI'].round(2).sort_values()\n",
    "#<=16.4 低体重，16.5-22.7 正常，22.8-25.2 超重，>=25.3 肥胖\n",
    "female_BMIcut = pd.cut(female_BMI, bins = [0, 16.4, 22.7, 25.2, 1000]) \n",
    "female_BMIcounts = female_BMIcut.value_counts() #计数情况不包括BIM未被统计的学生\n",
    "female_BMIcounts.rename(index = ('女低体重', '女正常', '女超重', '女肥胖'), inplace = True)\n",
    "female_BMIcounts"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "detected-stack",
   "metadata": {},
   "source": [
    "绘制嵌套饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "brazilian-madness",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '  男女体重指数分布统计  ')"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (9, 9))\n",
    "#外圈\n",
    "_ = plt.pie(male_BIMcounts, \n",
    "        autopct = '%.2f%%',\n",
    "        radius = 1, \n",
    "        pctdistance = 0.85,\n",
    "        wedgeprops = {'linewidth':5, 'width':0.3, 'edgecolor':'white'})\n",
    "#内圈\n",
    "_ = plt.pie(female_BMIcounts, autopct = '%.2f%%', radius = 0.7, \n",
    "        wedgeprops = {'linewidth':5, 'width':0.7, 'edgecolor':'white'})\n",
    "\n",
    "#添加图例\n",
    "plt.rcParams['font.family'] = 'LiSu'\n",
    "plt.legend(['男低体重', '女低体重', '男正常', '女正常', '男超重', '女超重', '男肥胖', '女肥胖'],\n",
    "           loc = 'lower center',\n",
    "           bbox_to_anchor = (0.5, -0.05), #调整间距\n",
    "           ncol = 4,\n",
    "           fontsize = 14)\n",
    "#添加标题\n",
    "plt.title(label = '  男女体重指数分布统计  ', \n",
    "          fontdict = {'size':24, 'color':'white', 'weight':'bold'}, \n",
    "          backgroundcolor = '#c5b783')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "accessory-checklist",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
